| A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT images B Kim, M Han, H Shim, J Baek Medical physics 46 (9), 3906-3923, 2019 | 80 | 2019 |
| Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstruction M Han, B Kim, J Baek PloS one 13 (3), e0194408, 2018 | 29 | 2018 |
| GAN2GAN: Generative noise learning for blind denoising with single noisy images S Cha, T Park, B Kim, J Baek, T Moon arXiv preprint arXiv:1905.10488, 2019 | 21 | 2019 |
| Weakly-supervised progressive denoising with unpaired CT images B Kim, H Shim, J Baek Medical Image Analysis 71, 102065, 2021 | 19 | 2021 |
| A convolutional neural network-based anthropomorphic model observer for signal detection in breast CT images without human-labeled data B Kim, M Han, J Baek IEEE Access 8, 162122-162131, 2020 | 14 | 2020 |
| A streak artifact reduction algorithm in sparse‐view CT using a self‐supervised neural representation B Kim, H Shim, J Baek Medical physics 49 (12), 7497-7515, 2022 | 11 | 2022 |
| Convolutional neural network–based metal and streak artifacts reduction in dental CT images with sparse‐view sampling scheme S Kim, J Ahn, B Kim, C Kim, J Baek Medical physics 49 (9), 6253-6277, 2022 | 9 | 2022 |
| CNN-based CT denoising with an accurate image domain noise insertion technique B Kim, SE Divel, NJ Pelc, J Baek Medical Imaging 2021: Physics of Medical Imaging 11595, 1074-1079, 2021 | 6 | 2021 |
| Performance comparison of convolutional neural network based denoising in low dose CT images for various loss functions B Kim, M Han, H Shim, J Baek Medical Imaging 2019: Physics of Medical Imaging 10948, 1042-1047, 2019 | 6 | 2019 |
| A methodology to train a convolutional neural network-based low-dose CT denoiser with an accurate image domain noise insertion technique B Kim, SE Divel, NJ Pelc, J Baek IEEE Access 10, 86395-86407, 2022 | 5 | 2022 |
| Multidimensional noise reduction in C-arm cone-beam CT via 2D-based Landweber iteration and 3D-based deep neural networks D Choi, J Kim, SH Chae, B Kim, J Baek, A Maier, R Fahrig, HS Park, ... Medical Imaging 2019: Physics of Medical Imaging 10948, 798-804, 2019 | 5 | 2019 |
| Sparsier2Sparse: Self‐supervised convolutional neural network‐based streak artifacts reduction in sparse‐view CT images S Kim, B Kim, J Lee, J Baek Medical Physics 50 (12), 7731-7747, 2023 | 4 | 2023 |
| Psychosine inhibits osteoclastogenesis and bone resorption via G protein-coupled receptor 65 SH Ahn, SY Lee, JE Baek, SY Lee, SY Park, YS Lee, H Kim, BJ Kim, ... Journal of endocrinological investigation 38, 891-899, 2015 | 3 | 2015 |
| Helical artifact reduction method using image segmentation with CNN denoising technique S Choi, B Kim, C Park, J Park, Y Kim, S Choi, J Baek IEEE Access, 2023 | 2 | 2023 |
| Sparsier2Sparse: weakly supervised learning for streak artifact reduction with unpaired sparse-view CT data S Kim, B Kim, J Baek 7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022 | 2 | 2022 |
| Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images B Kim, M Han, J Baek Medical Imaging 2020: Image Perception, Observer Performance, and Technology …, 2020 | 2 | 2020 |
| A deeper convolutional neural network for denoising low-dose CT images B Kim, H Shim, J Baek Medical Imaging 2018: Physics of Medical Imaging 10573, 956-961, 2018 | 1 | 2018 |
| A sequential approach using convolutional neural networks for motion artifacts reduction with a fast CT scan mode B Kim, Y Choi, S Moon, J Baek Medical Imaging 2022: Physics of Medical Imaging 12031, 716-723, 2022 | | 2022 |
| A hybrid domain approach to reduce streak artifacts of sparse view CT image via convolutional neural network S Kim, B Kim, J Baek Medical Imaging 2021: Physics of Medical Imaging 11595, 673-679, 2021 | | 2021 |
| A performance comparison of convolutional neural network based anthropomorphic model observer and linear model observer for signal-known statistically detection tasks M Han, B Kim, J Baek Medical Imaging 2020: Image Perception, Observer Performance, and Technology …, 2020 | | 2020 |
